Automated Fingerprint Identification System Market Analysis by Component, Identification Type and Application (2020 – 2025)
Automated Fingerprint Identification System Market Analysis by Component, Identification Type and Application (2020 – 2025)
The report classifies the business vertical into various segments based on components, voltage, end-user scope, and regional division. A thorough analysis of each segment with respect to their market share, growth rate, and revenue contribution forms a major part of the study.
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The global automated fingerprint identification system market generated revenue of US$ XX.X million in 2020 and is expected to reach US$ XX.X million by 2025 with a CAGR of XX.X% in the forecast period. An automated fingerprint identification system is a biometric identification system that helps in general identification and fraud prevention. The automated fingerprint identification system is commonly used by law enforcement authorities to match fingerprints and arrest suspects. An automated fingerprint identification system is often used by companies to enable workers to log in or out at their workplace. The study offers a detailed analysis of the global market for automated fingerprint identification system.
Considering 2019 as the base year, the report provides projected market information for the 2020 to 2025 forecast period. The study includes information on the current size and projected growth of the overall automated fingerprint identification system market and its associated business segments. Revenue estimates for this period are segmented on the component, identification type and application.
The automated fingerprint identification system market report will help several vendors make the right investment and development decisions. The research focuses on the global automated fingerprint identification system scenario and its proliferation across various market verticals. The descriptions in this report cover factors that currently influence and impede market growth and factor that will accelerate the future dimensions of demand for automated fingerprint identification system.
The chapters included in the report describe leading players in the automated fingerprint identification system market. The study provides landscape analysis, which offers detailed profiles of major players in the Automated Fingerprint Identification System market worldwide. The report covers a fine-grained taxonomy of market segmentation in terms of component, identification type and application.
By Component
o Hardware
o Software
o Cloud-Based
o On-Premises
o Services
o Integration Services
o Managed Services
By Identification Type
o Latent Print Identification
o Ten Print Identification
By Application
o Government
o BFSI
o Healthcare
o Hospitality
o Transportation
o Others
By Region
o North America
o Europe
o Asia Pacific
o Middle East & Africa
o Latin America
Market Players
Some of the major players of Automated Fingerprint Identification System market are as follows:
o 3M Cogent Inc.
o Afix Technologies Incorporation
o Crossmatch Technologies Inc.
o Dermalog Identification Systems Gmbh
o East Shore Technologies
o Fujitsu Limited
o HID Global Corporation
o M2sys Technology
o Morpho SA
o NEC Corporation
1. Introduction
2. Market Overview
2.1. Global Automated Finger Print Identification Market Introduction
2.2. Macro- Economic Factor
2.3. Market Determinants
2.3.1. Market Driver
2.3.2. Market Restraints
2.3.3. Market Opportunities
2.3.4. Market Challenges
2.4. Value Chain Analysis
2.5. Technology/Product Roadmap
2.6. Porters 5 Force Model
2.7. Market Growth Opportunity Analysis
3. Market Segmentation
3.1. Global Automated Finger Print Identification Market Analysis (US$ Mn), By Component, 2019 - 2025
3.1.1. Hardware
3.1.2. Software
3.1.2.1. Cloud base
3.1.2.2. On Premises
3.1.3. Services
3.1.3.1. Integration Services
3.1.3.2. Managed Services
3.2. Global Automated Finger Print Identification Market Analysis (US$ Mn), By Identification Type, 2019 – 2025
3.2.1. Latent Print Identification
3.2.2. Ten Print Identification
3.3. Global Automated Finger Print Identification Market Analysis (US$ Mn), By Industry, 2019 – 2025
3.3.1. Government
3.3.2. BFSI
3.3.3. Healthcare
3.3.4. Hospitality
3.3.5. Transportation
3.3.6. Others
4. Regional Analysis
4.1. North America Automated Finger Print Identification Market Analysis (US$ Mn), 2019 - 2025
4.1.1. By Country
4.1.1.1. U.S.
4.1.1.2. Canada
4.1.2. By Component
4.1.2.1. Hardware
4.1.2.2. Software
4.1.2.2.1. Cloud base
4.1.2.2.2. On Premises
4.1.2.3. Services
4.1.2.3.1. Integration Services
4.1.2.3.2. Managed Services
4.1.3. By Identification Type
4.1.3.1.1. Latent Print Identification
4.1.3.1.2. Ten Print Identification
4.1.4. By Industry
4.1.4.1.1. Government
4.1.4.1.2. BFSI
4.1.4.1.3. Healthcare
4.1.4.1.4. Hospitality
4.1.4.1.5. Transportation
4.1.4.1.6. Others
4.2. Europe Automated Finger Print Identification Market Analysis (US$ Mn), 2019 - 2025
4.2.1. By Country, 2019 – 2025
4.2.1.1. Germany
4.2.1.2. U.K.
4.2.1.3. France
4.2.1.4. Italy
4.2.1.5. Spain
4.2.1.6. Rest of Europe
4.2.2. By Component
4.2.2.1. Hardware
4.2.2.2. Software
4.2.2.2.1. Cloud base
4.2.2.2.2. On Premises
4.2.2.3. Services
4.2.2.3.1. Integration Services
4.2.2.3.2. Managed Services
4.2.3. By Identification Type
4.2.3.1.1. Latent Print Identification
4.2.3.1.2. Ten Print Identification
4.2.4. By Industry
4.2.4.1.1. Government
4.2.4.1.2. BFSI
4.2.4.1.3. Healthcare
4.2.4.1.4. Hospitality
4.2.4.1.5. Transportation
4.2.4.1.6. Others
4.3. Asia Pacific Automated Finger Print Identification Market Analysis (US$ Mn), 2019 - 2025
4.3.1. By Country, 2019 – 2025
4.3.1.1. China
4.3.1.2. Japan
4.3.1.3. India
4.3.1.4. Rest of Asia Pacific
4.3.2. By Component
4.3.2.1. Hardware
4.3.2.2. Software
4.3.2.2.1. Cloud base
4.3.2.2.2. On Premises
4.3.2.3. Services
4.3.2.3.1. Integration Services
4.3.2.3.2. Managed Services
4.3.3. By Identification Type
4.3.3.1.1. Latent Print Identification
4.3.3.1.2. Ten Print Identification
4.3.4. By Industry
4.3.4.1.1. Government
4.3.4.1.2. BFSI
4.3.4.1.3. Healthcare
4.3.4.1.4. Hospitality
4.3.4.1.5. Transportation
4.3.4.1.6. Others
4.4. Middle East & Africa Automated Finger Print Identification Market Analysis (US$ Mn), 2019 - 2025
4.4.1. By Country, 2019 – 2025
4.4.1.1. Middle East
4.4.1.2. Africa
4.4.2. By Component
4.4.2.1. Hardware
4.4.2.2. Software
4.4.2.2.1. Cloud base
4.4.2.2.2. On Premises
4.4.2.3. Services
4.4.2.3.1. Integration Services
4.4.2.3.2. Managed Services
4.4.3. By Identification Type
4.4.3.1.1. Latent Print Identification
4.4.3.1.2. Ten Print Identification
4.4.4. By Industry
4.4.4.1.1. Government
4.4.4.1.2. BFSI
4.4.4.1.3. Healthcare
4.4.4.1.4. Hospitality
4.4.4.1.5. Transportation
4.4.4.1.6. Others
4.5. Latin America Automated Finger Print Identification Market Analysis (US$ Mn), 2019 - 2025
4.5.1. By Country, 2019 – 2025
4.5.1.1. Brazil
4.5.1.2. Mexico
4.5.1.3. Rest of Latin America
4.5.2. By Component
4.5.2.1. Hardware
4.5.2.2. Software
4.5.2.2.1. Cloud base
4.5.2.2.2. On Premises
4.5.2.3. Services
4.5.2.3.1. Integration Services
4.5.2.3.2. Managed Services
4.5.3. By Identification Type
4.5.3.1.1. Latent Print Identification
4.5.3.1.2. Ten Print Identification
4.5.4. By Industry
4.5.4.1.1. Government
4.5.4.1.2. BFSI
4.5.4.1.3. Healthcare
4.5.4.1.4. Hospitality
4.5.4.1.5. Transportation
4.5.4.1.6. Others
5. Competitive Analysis
5.1. Company Share Analysis (%) 2019
5.2. List of Acquisition, Merger, Collaboration & New Product Launch
6. Company Profiles
6.1. 3M Cogent Inc.
6.2. Morpho SA
6.3. NEC Corporation
6.4. Fujitsu Limited
6.5. Suprema Incorporation
6.6. Crossmatch Technologies Inc.
6.7. HID Global Corporation
6.8. Sonda Technologies Ltd.
6.9. Dermalog Identification Systems Gmbh
6.10. M2sys Technology
Research Methodology:
Automated Fingerprint Identification System Market Size Estimation
To estimate market size and trends, we use a combination of top-down and bottom-up methods. This allows us to evaluate the market from various perspectives—by company, region, product type, and end users.
Our estimates are based on actual sales data, excluding any discounts. Segment breakdowns and market shares are calculated using weighted averages based on usage rates and average prices. Regional insights are determined by how widely a product or service is adopted in each area.
Key companies are identified through secondary sources like industry reports and company filings. We then verify revenue estimates and other key data points through primary research, including interviews with industry experts, company executives, and decision-makers.
We take into account all relevant factors that could influence the market and validate our findings with real-world input. Our final insights combine both qualitative and quantitative data to provide a well-rounded view. Please note, these estimates do not account for unexpected changes such as inflation, economic downturns, or policy shifts.
Data Source
Secondary Sources
This study draws on a wide range of secondary sources, including press releases, annual reports, non-profit organizations, industry associations, government agencies, and customs data. We also referred to reputable databases and directories such as Bloomberg, Wind Info, Hoovers, Factiva, Trading Economics, Statista, and others. Additional references include investor presentations, company filings (e.g., SEC), economic data, and documents from regulatory and industry bodies.
These sources were used to gather technical and market-focused insights, identify key players, analyze market segmentation and classification, and track major trends and developments across industries.
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Primary Sources
As part of our primary research, we interviewed a variety of stakeholders from both the supply and demand sides to gather valuable qualitative and quantitative insights.
On the supply side, we spoke with product manufacturers, competitors, industry experts, research institutions, distributors, traders, and raw material suppliers. On the demand side, we engaged with business leaders, marketing and sales heads, technology and innovation directors, supply chain executives, and end users across key organizations.
These conversations helped us better understand market segmentation, pricing, applications, leading players, supply chains, demand trends, industry outlook, and key market dynamics—including risks, opportunities, barriers, and strategic developments.
Key Data Information from Primary Sources
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